Bloomberg Intelligence - Semiconductors Equity Research Associate

Bloomberg Intelligence - Semiconductors Equity Research Associate

Location

New York

Business Area

Research

Ref #

10054758

Description & Requirements

Bloomberg Intelligence (BI) delivers independent, data-driven research and interactive datasets integrated into the Bloomberg Terminal, helping investment professionals make decisions faster. With 500+ research professionals, BI provides company, credit, industry and strategy research across major global markets, covering 135+ industries and 2,000+ companies, including perspectives on company fundamentals as well as government policy, litigation and ESG. BI combines analyst expertise with interactive data, proprietary models and emerging technologies, including AI, to deliver faster, deeper and more differentiated research. Our research and datasets are delivered through curated Terminal dashboards and interactive research decks, with underlying data typically one click away, drawing on proprietary Bloomberg sources and 600+ data contributors.

What's in it for you:

BI Associate Analyst – Semis: The Associate Analyst on the team will focus significantly on supporting the franchise with financial modeling, generating insights, writing, and conducting investment research for Semis companies including Nvidia, AMD, Broadcom and other frontier peers. The analysis will be based on company financial data, industry leading data, Bloomberg's data sets, financial models as well as issuer calls and announcements.

We'll trust you to:

• Actively contribute to the team’s daily research activities (i.e. data aggregation, financial modeling, written research, idea generation)

• Monitor and interpret major company developments and identify macro themes and trends affecting industries

• Manage significant data analysis and modeling responsibilities; synthesize the results, draw conclusions and develop concise narratives that communicate the story behind the data

• Review submitted research for adherence to global quality standards

• Develop and maintain relationships with internal departments throughout Bloomberg as well as external company, industry and data professionals; participate in department-wide special projects

• Work with other data and core business groups to help develop and enhance content and functionality across the terminal

• Interact with clients via our online messaging systems

• Use generative AI, machine learning tools and automation to improve research workflows, data discovery, modeling and content development

You need to have:

• Graduated with a Bachelor's degree, preferably with a focus or concentration in Finance or related degree

• Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future (U.S. citizen, U.S. permanent resident/green card holder, refugee, asylee)

• At least two years of financial market research or industry specific subject matter experience, with demonstrable research and analytical skills

• Proficient industry knowledge of the Technology sector

• A deep understanding of advanced concepts, practices and procedures of finance/accounting

• Solid experience performing quantitative financial analysis, with knowledge of companies, industries, financial statement analysis & modeling

• The ability to spot anomalies in financial data, think critically about what the data is telling you and identify when something doesn't align or make sense

• Advanced Microsoft Excel skills

• High level of curiosity and attention to detail

• Strong organization skills and capable of handling multiple projects; an ability to meet deadlines, logically tackle problems and set priorities

• Excellent written communication and presentation skills

• A commitment to enhancing and developing products

• Ability and willingness to adopt new technologies, including generative AI and automation, to build repeatable workflows, improve research efficiency and quality and support data-driven analysis

We'd love to see:

• CFA designation and/or MBA degree, and/or graduate educational experience

• Experience using Python and/or visualization tools (i.e Power BI, Tableau, or Qlik Sense)

• Previous work experience with the Bloomberg Terminal. Let us know what your favorite functions are!

If this sounds like you:

Apply if you think we're a good match and we'll get in touch with you to let you know next steps. In the meantime, check out http://www.bloomberg.com/professional/bloomberg-intelligence/.

Salary Range = 100,000 - 120,000 USD Annual + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email [email protected]